Overview

Dataset statistics

Number of variables56
Number of observations22
Missing cells560
Missing cells (%)45.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory10.5 KiB
Average record size in memory491.0 B

Variable types

Categorical16
Text9
DateTime3
Unsupported21
Numeric7

Dataset

Description개방자치단체코드,관리번호,인허가일자,인허가취소일자,영업상태코드,영업상태명,상세영업상태코드,상세영업상태명,폐업일자,휴업시작일자,휴업종료일자,재개업일자,전화번호,소재지면적,소재지우편번호,지번주소,도로명주소,도로명우편번호,사업장명,최종수정일자,데이터갱신구분,데이터갱신일자,업태구분명,좌표정보(X),좌표정보(Y),문화체육업종명,문화사업자구분명,총층수,주변환경명,제작취급품목내용,시설면적,지상층수,지하층수,건물용도명,통로너비,조명시설조도,노래방실수,청소년실수,비상계단여부,비상구여부,자동환기여부,청소년실여부,특수조명여부,방음시설여부,비디오재생기명,조명시설유무,음향시설여부,편의시설여부,소방시설여부,총게임기수,기존게임업외업종명,제공게임물명,공연장형태구분명,품목명,최초등록시점,지역구분명
Author영등포구
URLhttps://data.seoul.go.kr/dataList/OA-16760/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
인허가취소일자 has 22 (100.0%) missing valuesMissing
폐업일자 has 8 (36.4%) missing valuesMissing
휴업시작일자 has 22 (100.0%) missing valuesMissing
휴업종료일자 has 22 (100.0%) missing valuesMissing
재개업일자 has 22 (100.0%) missing valuesMissing
전화번호 has 18 (81.8%) missing valuesMissing
소재지면적 has 22 (100.0%) missing valuesMissing
소재지우편번호 has 22 (100.0%) missing valuesMissing
도로명우편번호 has 6 (27.3%) missing valuesMissing
업태구분명 has 22 (100.0%) missing valuesMissing
총층수 has 4 (18.2%) missing valuesMissing
주변환경명 has 17 (77.3%) missing valuesMissing
제작취급품목내용 has 5 (22.7%) missing valuesMissing
시설면적 has 4 (18.2%) missing valuesMissing
비상계단여부 has 22 (100.0%) missing valuesMissing
비상구여부 has 22 (100.0%) missing valuesMissing
자동환기여부 has 22 (100.0%) missing valuesMissing
청소년실여부 has 22 (100.0%) missing valuesMissing
특수조명여부 has 22 (100.0%) missing valuesMissing
방음시설여부 has 22 (100.0%) missing valuesMissing
비디오재생기명 has 22 (100.0%) missing valuesMissing
조명시설유무 has 22 (100.0%) missing valuesMissing
음향시설여부 has 22 (100.0%) missing valuesMissing
편의시설여부 has 22 (100.0%) missing valuesMissing
소방시설여부 has 22 (100.0%) missing valuesMissing
총게임기수 has 4 (18.2%) missing valuesMissing
기존게임업외업종명 has 18 (81.8%) missing valuesMissing
공연장형태구분명 has 22 (100.0%) missing valuesMissing
품목명 has 22 (100.0%) missing valuesMissing
최초등록시점 has 22 (100.0%) missing valuesMissing
지역구분명 has 14 (63.6%) missing valuesMissing
관리번호 has unique valuesUnique
인허가일자 has unique valuesUnique
지번주소 has unique valuesUnique
도로명주소 has unique valuesUnique
사업장명 has unique valuesUnique
최종수정일자 has unique valuesUnique
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
재개업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지우편번호 is an unsupported type, check if it needs cleaning or further analysisUnsupported
업태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
비상계단여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
비상구여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
자동환기여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
청소년실여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
특수조명여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
방음시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
비디오재생기명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
조명시설유무 is an unsupported type, check if it needs cleaning or further analysisUnsupported
음향시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
편의시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소방시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
공연장형태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
품목명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
최초등록시점 is an unsupported type, check if it needs cleaning or further analysisUnsupported
총층수 has 10 (45.5%) zerosZeros
총게임기수 has 6 (27.3%) zerosZeros

Reproduction

Analysis started2024-05-11 05:03:56.441406
Analysis finished2024-05-11 05:03:57.837626
Duration1.4 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size308.0 B
3180000
22 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3180000
2nd row3180000
3rd row3180000
4th row3180000
5th row3180000

Common Values

ValueCountFrequency (%)
3180000 22
100.0%

Length

2024-05-11T05:03:58.070549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:03:58.415319image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3180000 22
100.0%

관리번호
Text

UNIQUE 

Distinct22
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size308.0 B
2024-05-11T05:03:58.825681image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters440
Distinct characters12
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique22 ?
Unique (%)100.0%

Sample

1st rowCDFF2241032005000001
2nd rowCDFF2241032010000001
3rd rowCDFF2241032010000002
4th rowCDFF2241032010000003
5th rowCDFF2241032011000001
ValueCountFrequency (%)
cdff2241032005000001 1
 
4.5%
cdff2241032010000001 1
 
4.5%
cdff2241032023000001 1
 
4.5%
cdff2241032021000001 1
 
4.5%
cdff2241032020000002 1
 
4.5%
cdff2241032020000001 1
 
4.5%
cdff2241032019000001 1
 
4.5%
cdff2241032018000001 1
 
4.5%
cdff2241032017000004 1
 
4.5%
cdff2241032017000003 1
 
4.5%
Other values (12) 12
54.5%
2024-05-11T05:03:59.960566image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 160
36.4%
2 76
17.3%
1 56
 
12.7%
F 44
 
10.0%
3 27
 
6.1%
4 25
 
5.7%
C 22
 
5.0%
D 22
 
5.0%
7 4
 
0.9%
5 2
 
0.5%
Other values (2) 2
 
0.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 352
80.0%
Uppercase Letter 88
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 160
45.5%
2 76
21.6%
1 56
 
15.9%
3 27
 
7.7%
4 25
 
7.1%
7 4
 
1.1%
5 2
 
0.6%
8 1
 
0.3%
9 1
 
0.3%
Uppercase Letter
ValueCountFrequency (%)
F 44
50.0%
C 22
25.0%
D 22
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 352
80.0%
Latin 88
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 160
45.5%
2 76
21.6%
1 56
 
15.9%
3 27
 
7.7%
4 25
 
7.1%
7 4
 
1.1%
5 2
 
0.6%
8 1
 
0.3%
9 1
 
0.3%
Latin
ValueCountFrequency (%)
F 44
50.0%
C 22
25.0%
D 22
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 440
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 160
36.4%
2 76
17.3%
1 56
 
12.7%
F 44
 
10.0%
3 27
 
6.1%
4 25
 
5.7%
C 22
 
5.0%
D 22
 
5.0%
7 4
 
0.9%
5 2
 
0.5%
Other values (2) 2
 
0.5%

인허가일자
Date

UNIQUE 

Distinct22
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size308.0 B
Minimum2005-05-04 00:00:00
Maximum2024-04-23 00:00:00
2024-05-11T05:04:00.353551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T05:04:00.861620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing22
Missing (%)100.0%
Memory size330.0 B

영업상태코드
Categorical

Distinct3
Distinct (%)13.6%
Missing0
Missing (%)0.0%
Memory size308.0 B
3
9 
1
8 
4
5 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3
2nd row3
3rd row4
4th row4
5th row3

Common Values

ValueCountFrequency (%)
3 9
40.9%
1 8
36.4%
4 5
22.7%

Length

2024-05-11T05:04:01.263108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:04:01.636039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 9
40.9%
1 8
36.4%
4 5
22.7%

영업상태명
Categorical

Distinct3
Distinct (%)13.6%
Missing0
Missing (%)0.0%
Memory size308.0 B
폐업
9 
영업/정상
8 
취소/말소/만료/정지/중지
5 

Length

Max length14
Median length5
Mean length5.8181818
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row폐업
2nd row폐업
3rd row취소/말소/만료/정지/중지
4th row취소/말소/만료/정지/중지
5th row폐업

Common Values

ValueCountFrequency (%)
폐업 9
40.9%
영업/정상 8
36.4%
취소/말소/만료/정지/중지 5
22.7%

Length

2024-05-11T05:04:02.168660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:04:02.596662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 9
40.9%
영업/정상 8
36.4%
취소/말소/만료/정지/중지 5
22.7%

상세영업상태코드
Categorical

Distinct3
Distinct (%)13.6%
Missing0
Missing (%)0.0%
Memory size308.0 B
3
9 
13
8 
35
5 

Length

Max length2
Median length2
Mean length1.5909091
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3
2nd row3
3rd row35
4th row35
5th row3

Common Values

ValueCountFrequency (%)
3 9
40.9%
13 8
36.4%
35 5
22.7%

Length

2024-05-11T05:04:03.155510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:04:03.553599image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 9
40.9%
13 8
36.4%
35 5
22.7%

상세영업상태명
Categorical

Distinct3
Distinct (%)13.6%
Missing0
Missing (%)0.0%
Memory size308.0 B
폐업
9 
영업중
8 
직권말소
5 

Length

Max length4
Median length3
Mean length2.8181818
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row폐업
2nd row폐업
3rd row직권말소
4th row직권말소
5th row폐업

Common Values

ValueCountFrequency (%)
폐업 9
40.9%
영업중 8
36.4%
직권말소 5
22.7%

Length

2024-05-11T05:04:03.950644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:04:04.333245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 9
40.9%
영업중 8
36.4%
직권말소 5
22.7%

폐업일자
Real number (ℝ)

MISSING 

Distinct12
Distinct (%)85.7%
Missing8
Missing (%)36.4%
Infinite0
Infinite (%)0.0%
Mean20187240
Minimum20111117
Maximum20220616
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size330.0 B
2024-05-11T05:04:04.667145image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20111117
5-th percentile20123993
Q120173576
median20200359
Q320211209
95-th percentile20220360
Maximum20220616
Range109499
Interquartile range (IQR)37633.5

Descriptive statistics

Standard deviation35490.041
Coefficient of variation (CV)0.0017580433
Kurtosis0.17247294
Mean20187240
Median Absolute Deviation (MAD)14991
Skewness-1.181296
Sum2.8262136 × 108
Variance1.259543 × 109
MonotonicityNot monotonic
2024-05-11T05:04:05.134917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
20211209 3
 
13.6%
20200515 1
 
4.5%
20171025 1
 
4.5%
20111117 1
 
4.5%
20141127 1
 
4.5%
20181227 1
 
4.5%
20130926 1
 
4.5%
20220616 1
 
4.5%
20210629 1
 
4.5%
20220222 1
 
4.5%
Other values (2) 2
 
9.1%
(Missing) 8
36.4%
ValueCountFrequency (%)
20111117 1
 
4.5%
20130926 1
 
4.5%
20141127 1
 
4.5%
20171025 1
 
4.5%
20181227 1
 
4.5%
20200123 1
 
4.5%
20200203 1
 
4.5%
20200515 1
 
4.5%
20210629 1
 
4.5%
20211209 3
13.6%
ValueCountFrequency (%)
20220616 1
 
4.5%
20220222 1
 
4.5%
20211209 3
13.6%
20210629 1
 
4.5%
20200515 1
 
4.5%
20200203 1
 
4.5%
20200123 1
 
4.5%
20181227 1
 
4.5%
20171025 1
 
4.5%
20141127 1
 
4.5%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing22
Missing (%)100.0%
Memory size330.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing22
Missing (%)100.0%
Memory size330.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing22
Missing (%)100.0%
Memory size330.0 B

전화번호
Text

MISSING 

Distinct4
Distinct (%)100.0%
Missing18
Missing (%)81.8%
Memory size308.0 B
2024-05-11T05:04:05.550070image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.75
Min length12

Characters and Unicode

Total characters51
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4 ?
Unique (%)100.0%

Sample

1st row070-8233-1795
2nd row070-4125-6993
3rd row070-7655-1101
4th row02-2677-7693
ValueCountFrequency (%)
070-8233-1795 1
25.0%
070-4125-6993 1
25.0%
070-7655-1101 1
25.0%
02-2677-7693 1
25.0%
2024-05-11T05:04:06.527056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 8
15.7%
7 8
15.7%
- 8
15.7%
1 5
9.8%
2 4
7.8%
3 4
7.8%
9 4
7.8%
5 4
7.8%
6 4
7.8%
8 1
 
2.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 43
84.3%
Dash Punctuation 8
 
15.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 8
18.6%
7 8
18.6%
1 5
11.6%
2 4
9.3%
3 4
9.3%
9 4
9.3%
5 4
9.3%
6 4
9.3%
8 1
 
2.3%
4 1
 
2.3%
Dash Punctuation
ValueCountFrequency (%)
- 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 51
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 8
15.7%
7 8
15.7%
- 8
15.7%
1 5
9.8%
2 4
7.8%
3 4
7.8%
9 4
7.8%
5 4
7.8%
6 4
7.8%
8 1
 
2.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 51
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 8
15.7%
7 8
15.7%
- 8
15.7%
1 5
9.8%
2 4
7.8%
3 4
7.8%
9 4
7.8%
5 4
7.8%
6 4
7.8%
8 1
 
2.0%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing22
Missing (%)100.0%
Memory size330.0 B

소재지우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing22
Missing (%)100.0%
Memory size330.0 B

지번주소
Text

UNIQUE 

Distinct22
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size308.0 B
2024-05-11T05:04:07.190305image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length37
Median length30
Mean length28.454545
Min length20

Characters and Unicode

Total characters626
Distinct characters67
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique22 ?
Unique (%)100.0%

Sample

1st row서울특별시 영등포구 영등포동 618-496번지 롯데시네마 7층
2nd row서울특별시 영등포구 영등포동 618-79번지 2층
3rd row서울특별시 영등포구 영등포동6가 67-1번지
4th row서울특별시 영등포구 당산동4가 92-3 경인빌딩 4층
5th row서울특별시 영등포구 영등포동 631-13번지 3층
ValueCountFrequency (%)
서울특별시 22
18.8%
영등포구 22
18.8%
영등포동3가 7
 
6.0%
영등포동 4
 
3.4%
3층 4
 
3.4%
4층 2
 
1.7%
신길동 2
 
1.7%
1층 2
 
1.7%
지하1층 2
 
1.7%
2층 2
 
1.7%
Other values (48) 48
41.0%
2024-05-11T05:04:08.399591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
108
17.3%
영 36
 
5.8%
등 36
 
5.8%
포 36
 
5.8%
3 30
 
4.8%
1 24
 
3.8%
시 23
 
3.7%
동 23
 
3.7%
서 22
 
3.5%
울 22
 
3.5%
Other values (57) 266
42.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 377
60.2%
Decimal Number 120
 
19.2%
Space Separator 108
 
17.3%
Dash Punctuation 19
 
3.0%
Uppercase Letter 1
 
0.2%
Other Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
영 36
 
9.5%
등 36
 
9.5%
포 36
 
9.5%
시 23
 
6.1%
동 23
 
6.1%
서 22
 
5.8%
울 22
 
5.8%
특 22
 
5.8%
별 22
 
5.8%
구 22
 
5.8%
Other values (43) 113
30.0%
Decimal Number
ValueCountFrequency (%)
3 30
25.0%
1 24
20.0%
4 11
 
9.2%
6 10
 
8.3%
2 10
 
8.3%
9 9
 
7.5%
7 9
 
7.5%
8 9
 
7.5%
0 7
 
5.8%
5 1
 
0.8%
Space Separator
ValueCountFrequency (%)
108
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 19
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 1
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 377
60.2%
Common 248
39.6%
Latin 1
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
영 36
 
9.5%
등 36
 
9.5%
포 36
 
9.5%
시 23
 
6.1%
동 23
 
6.1%
서 22
 
5.8%
울 22
 
5.8%
특 22
 
5.8%
별 22
 
5.8%
구 22
 
5.8%
Other values (43) 113
30.0%
Common
ValueCountFrequency (%)
108
43.5%
3 30
 
12.1%
1 24
 
9.7%
- 19
 
7.7%
4 11
 
4.4%
6 10
 
4.0%
2 10
 
4.0%
9 9
 
3.6%
7 9
 
3.6%
8 9
 
3.6%
Other values (3) 9
 
3.6%
Latin
ValueCountFrequency (%)
B 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 377
60.2%
ASCII 249
39.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
108
43.4%
3 30
 
12.0%
1 24
 
9.6%
- 19
 
7.6%
4 11
 
4.4%
6 10
 
4.0%
2 10
 
4.0%
9 9
 
3.6%
7 9
 
3.6%
8 9
 
3.6%
Other values (4) 10
 
4.0%
Hangul
ValueCountFrequency (%)
영 36
 
9.5%
등 36
 
9.5%
포 36
 
9.5%
시 23
 
6.1%
동 23
 
6.1%
서 22
 
5.8%
울 22
 
5.8%
특 22
 
5.8%
별 22
 
5.8%
구 22
 
5.8%
Other values (43) 113
30.0%

도로명주소
Text

UNIQUE 

Distinct22
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size308.0 B
2024-05-11T05:04:09.114718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length36.5
Mean length34.727273
Min length26

Characters and Unicode

Total characters764
Distinct characters78
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique22 ?
Unique (%)100.0%

Sample

1st row서울특별시 영등포구 경인로 846, A동 7층 (영등포동, 롯데백화점 영등포점)
2nd row서울특별시 영등포구 영신로19길 7 (영등포동)
3rd row서울특별시 영등포구 영신로40길 18 (영등포동6가)
4th row서울특별시 영등포구 국회대로 553 (당산동4가,경인빌딩 4층)
5th row서울특별시 영등포구 영신로9라길 16 (영등포동,3층)
ValueCountFrequency (%)
서울특별시 22
 
15.8%
영등포구 22
 
15.8%
영등포동3가 6
 
4.3%
4층 3
 
2.2%
2층 3
 
2.2%
16 3
 
2.2%
영중로10길 3
 
2.2%
영등포동 3
 
2.2%
3층 2
 
1.4%
영등포로 2
 
1.4%
Other values (64) 70
50.4%
2024-05-11T05:04:10.420430image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
120
 
15.7%
영 52
 
6.8%
등 40
 
5.2%
포 40
 
5.2%
, 25
 
3.3%
동 24
 
3.1%
3 23
 
3.0%
1 23
 
3.0%
울 23
 
3.0%
서 23
 
3.0%
Other values (68) 371
48.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 459
60.1%
Space Separator 120
 
15.7%
Decimal Number 112
 
14.7%
Other Punctuation 25
 
3.3%
Open Punctuation 22
 
2.9%
Close Punctuation 22
 
2.9%
Dash Punctuation 2
 
0.3%
Uppercase Letter 2
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
영 52
 
11.3%
등 40
 
8.7%
포 40
 
8.7%
동 24
 
5.2%
울 23
 
5.0%
서 23
 
5.0%
시 22
 
4.8%
로 22
 
4.8%
구 22
 
4.8%
별 22
 
4.8%
Other values (51) 169
36.8%
Decimal Number
ValueCountFrequency (%)
3 23
20.5%
1 23
20.5%
4 14
12.5%
0 13
11.6%
2 12
10.7%
6 10
8.9%
7 5
 
4.5%
9 5
 
4.5%
5 4
 
3.6%
8 3
 
2.7%
Uppercase Letter
ValueCountFrequency (%)
B 1
50.0%
A 1
50.0%
Space Separator
ValueCountFrequency (%)
120
100.0%
Other Punctuation
ValueCountFrequency (%)
, 25
100.0%
Open Punctuation
ValueCountFrequency (%)
( 22
100.0%
Close Punctuation
ValueCountFrequency (%)
) 22
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 459
60.1%
Common 303
39.7%
Latin 2
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
영 52
 
11.3%
등 40
 
8.7%
포 40
 
8.7%
동 24
 
5.2%
울 23
 
5.0%
서 23
 
5.0%
시 22
 
4.8%
로 22
 
4.8%
구 22
 
4.8%
별 22
 
4.8%
Other values (51) 169
36.8%
Common
ValueCountFrequency (%)
120
39.6%
, 25
 
8.3%
3 23
 
7.6%
1 23
 
7.6%
( 22
 
7.3%
) 22
 
7.3%
4 14
 
4.6%
0 13
 
4.3%
2 12
 
4.0%
6 10
 
3.3%
Other values (5) 19
 
6.3%
Latin
ValueCountFrequency (%)
B 1
50.0%
A 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 459
60.1%
ASCII 305
39.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
120
39.3%
, 25
 
8.2%
3 23
 
7.5%
1 23
 
7.5%
( 22
 
7.2%
) 22
 
7.2%
4 14
 
4.6%
0 13
 
4.3%
2 12
 
3.9%
6 10
 
3.3%
Other values (7) 21
 
6.9%
Hangul
ValueCountFrequency (%)
영 52
 
11.3%
등 40
 
8.7%
포 40
 
8.7%
동 24
 
5.2%
울 23
 
5.0%
서 23
 
5.0%
시 22
 
4.8%
로 22
 
4.8%
구 22
 
4.8%
별 22
 
4.8%
Other values (51) 169
36.8%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct13
Distinct (%)81.2%
Missing6
Missing (%)27.3%
Infinite0
Infinite (%)0.0%
Mean16224.938
Minimum7222
Maximum150033
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size330.0 B
2024-05-11T05:04:11.033807image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7222
5-th percentile7231.75
Q17299.5
median7304
Q37353.25
95-th percentile43032.75
Maximum150033
Range142811
Interquartile range (IQR)53.75

Descriptive statistics

Standard deviation35682.175
Coefficient of variation (CV)2.199218
Kurtosis15.999945
Mean16224.938
Median Absolute Deviation (MAD)30.5
Skewness3.9999903
Sum259599
Variance1.2732176 × 109
MonotonicityNot monotonic
2024-05-11T05:04:11.473443image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
7366 2
 
9.1%
7302 2
 
9.1%
7304 2
 
9.1%
7306 1
 
4.5%
150033 1
 
4.5%
7303 1
 
4.5%
7222 1
 
4.5%
7235 1
 
4.5%
7252 1
 
4.5%
7305 1
 
4.5%
Other values (3) 3
13.6%
(Missing) 6
27.3%
ValueCountFrequency (%)
7222 1
4.5%
7235 1
4.5%
7252 1
4.5%
7292 1
4.5%
7302 2
9.1%
7303 1
4.5%
7304 2
9.1%
7305 1
4.5%
7306 1
4.5%
7353 1
4.5%
ValueCountFrequency (%)
150033 1
4.5%
7366 2
9.1%
7354 1
4.5%
7353 1
4.5%
7306 1
4.5%
7305 1
4.5%
7304 2
9.1%
7303 1
4.5%
7302 2
9.1%
7292 1
4.5%

사업장명
Text

UNIQUE 

Distinct22
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size308.0 B
2024-05-11T05:04:12.042274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length11.5
Mean length8.0909091
Min length3

Characters and Unicode

Total characters178
Distinct characters90
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique22 ?
Unique (%)100.0%

Sample

1st row롯데시네마 영등포 게임센터
2nd row쓰리팝
3rd row놀러와pc방
4th row도시락피씨방 영등포구청점
5th row린투pc방
ValueCountFrequency (%)
pc 2
 
5.4%
롯데시네마 1
 
2.7%
the1975 1
 
2.7%
삘굿 1
 
2.7%
1004 1
 
2.7%
독스 1
 
2.7%
pc방 1
 
2.7%
k-star 1
 
2.7%
vr 1
 
2.7%
action 1
 
2.7%
Other values (26) 26
70.3%
2024-05-11T05:04:13.216936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
15
 
8.4%
방 8
 
4.5%
N 6
 
3.4%
P 6
 
3.4%
C 5
 
2.8%
E 4
 
2.2%
R 4
 
2.2%
T 4
 
2.2%
A 4
 
2.2%
포 3
 
1.7%
Other values (80) 119
66.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 90
50.6%
Uppercase Letter 55
30.9%
Space Separator 15
 
8.4%
Decimal Number 9
 
5.1%
Lowercase Letter 4
 
2.2%
Open Punctuation 2
 
1.1%
Close Punctuation 2
 
1.1%
Dash Punctuation 1
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
방 8
 
8.9%
포 3
 
3.3%
등 3
 
3.3%
영 3
 
3.3%
피 3
 
3.3%
티 3
 
3.3%
점 3
 
3.3%
스 3
 
3.3%
니 3
 
3.3%
지 2
 
2.2%
Other values (47) 56
62.2%
Uppercase Letter
ValueCountFrequency (%)
N 6
10.9%
P 6
10.9%
C 5
 
9.1%
E 4
 
7.3%
R 4
 
7.3%
T 4
 
7.3%
A 4
 
7.3%
Y 3
 
5.5%
S 3
 
5.5%
K 2
 
3.6%
Other values (10) 14
25.5%
Decimal Number
ValueCountFrequency (%)
1 2
22.2%
0 2
22.2%
2 1
11.1%
9 1
11.1%
4 1
11.1%
5 1
11.1%
7 1
11.1%
Lowercase Letter
ValueCountFrequency (%)
c 2
50.0%
p 2
50.0%
Space Separator
ValueCountFrequency (%)
15
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 90
50.6%
Latin 59
33.1%
Common 29
 
16.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
방 8
 
8.9%
포 3
 
3.3%
등 3
 
3.3%
영 3
 
3.3%
피 3
 
3.3%
티 3
 
3.3%
점 3
 
3.3%
스 3
 
3.3%
니 3
 
3.3%
지 2
 
2.2%
Other values (47) 56
62.2%
Latin
ValueCountFrequency (%)
N 6
 
10.2%
P 6
 
10.2%
C 5
 
8.5%
E 4
 
6.8%
R 4
 
6.8%
T 4
 
6.8%
A 4
 
6.8%
Y 3
 
5.1%
S 3
 
5.1%
K 2
 
3.4%
Other values (12) 18
30.5%
Common
ValueCountFrequency (%)
15
51.7%
1 2
 
6.9%
( 2
 
6.9%
0 2
 
6.9%
) 2
 
6.9%
2 1
 
3.4%
9 1
 
3.4%
4 1
 
3.4%
- 1
 
3.4%
5 1
 
3.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 90
50.6%
ASCII 88
49.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
15
17.0%
N 6
 
6.8%
P 6
 
6.8%
C 5
 
5.7%
E 4
 
4.5%
R 4
 
4.5%
T 4
 
4.5%
A 4
 
4.5%
Y 3
 
3.4%
S 3
 
3.4%
Other values (23) 34
38.6%
Hangul
ValueCountFrequency (%)
방 8
 
8.9%
포 3
 
3.3%
등 3
 
3.3%
영 3
 
3.3%
피 3
 
3.3%
티 3
 
3.3%
점 3
 
3.3%
스 3
 
3.3%
니 3
 
3.3%
지 2
 
2.2%
Other values (47) 56
62.2%

최종수정일자
Date

UNIQUE 

Distinct22
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size308.0 B
Minimum2011-11-17 13:44:01
Maximum2024-04-23 11:44:08
2024-05-11T05:04:13.889460image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T05:04:14.503089image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)

데이터갱신구분
Categorical

Distinct2
Distinct (%)9.1%
Missing0
Missing (%)0.0%
Memory size308.0 B
U
15 
I
7 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowU
2nd rowI
3rd rowI
4th rowU
5th rowI

Common Values

ValueCountFrequency (%)
U 15
68.2%
I 7
31.8%

Length

2024-05-11T05:04:14.962141image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:04:15.398362image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
u 15
68.2%
i 7
31.8%

데이터갱신일자
Date

Distinct15
Distinct (%)68.2%
Missing0
Missing (%)0.0%
Memory size308.0 B
Minimum2018-08-31 23:59:59
Maximum2023-12-03 22:05:00
2024-05-11T05:04:15.872471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T05:04:16.222064image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing22
Missing (%)100.0%
Memory size330.0 B

좌표정보(X)
Real number (ℝ)

Distinct20
Distinct (%)90.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean191636.35
Minimum190161.74
Maximum193084.36
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size330.0 B
2024-05-11T05:04:16.600304image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum190161.74
5-th percentile190681.84
Q1191382.01
median191668.66
Q3191864.62
95-th percentile192986.17
Maximum193084.36
Range2922.6181
Interquartile range (IQR)482.60952

Descriptive statistics

Standard deviation678.81699
Coefficient of variation (CV)0.0035422141
Kurtosis1.0015176
Mean191636.35
Median Absolute Deviation (MAD)220.80769
Skewness0.21307411
Sum4215999.8
Variance460792.5
MonotonicityNot monotonic
2024-05-11T05:04:16.971037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
191801.565851316 2
 
9.1%
191701.27652105 2
 
9.1%
191741.345847708 1
 
4.5%
191096.383033041 1
 
4.5%
193009.721165528 1
 
4.5%
191082.132910815 1
 
4.5%
193084.355458397 1
 
4.5%
191385.057392247 1
 
4.5%
191893.265710057 1
 
4.5%
192538.786642476 1
 
4.5%
Other values (10) 10
45.5%
ValueCountFrequency (%)
190161.737344082 1
4.5%
190678.3600811 1
4.5%
190747.885658802 1
4.5%
191082.132910815 1
4.5%
191096.383033041 1
4.5%
191380.993043304 1
4.5%
191385.057392247 1
4.5%
191566.327840503 1
4.5%
191604.062619264 1
4.5%
191616.285409253 1
4.5%
ValueCountFrequency (%)
193084.355458397 1
4.5%
193009.721165528 1
4.5%
192538.786642476 1
4.5%
191893.265710057 1
4.5%
191885.679527589 1
4.5%
191885.636256487 1
4.5%
191801.565851316 2
9.1%
191741.345847708 1
4.5%
191701.27652105 2
9.1%
191636.053345951 1
4.5%

좌표정보(Y)
Real number (ℝ)

Distinct20
Distinct (%)90.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean446163.85
Minimum443551.59
Maximum448115.64
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size330.0 B
2024-05-11T05:04:17.472526image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum443551.59
5-th percentile445556.87
Q1445829.26
median446149.06
Q3446362.74
95-th percentile447354.1
Maximum448115.64
Range4564.0555
Interquartile range (IQR)533.47805

Descriptive statistics

Standard deviation826.65854
Coefficient of variation (CV)0.0018528138
Kurtosis5.2186408
Mean446163.85
Median Absolute Deviation (MAD)234.76621
Skewness-0.78977321
Sum9815604.8
Variance683364.35
MonotonicityNot monotonic
2024-05-11T05:04:17.980298image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
446120.923360728 2
 
9.1%
445782.250190617 2
 
9.1%
445970.307641467 1
 
4.5%
448115.64140501 1
 
4.5%
445552.34799134 1
 
4.5%
446401.009846978 1
 
4.5%
445642.841119953 1
 
4.5%
446098.555926507 1
 
4.5%
446366.65180534 1
 
4.5%
447017.15917925 1
 
4.5%
Other values (10) 10
45.5%
ValueCountFrequency (%)
443551.585912487 1
4.5%
445552.34799134 1
4.5%
445642.841119953 1
4.5%
445685.429249467 1
4.5%
445782.250190617 2
9.1%
445970.307641467 1
4.5%
446098.555926507 1
4.5%
446120.923360728 2
9.1%
446125.33590618 1
4.5%
446172.793327846 1
4.5%
ValueCountFrequency (%)
448115.64140501 1
4.5%
447371.830822953 1
4.5%
447017.15917925 1
4.5%
446542.019359315 1
4.5%
446401.009846978 1
4.5%
446366.65180534 1
4.5%
446351.015010998 1
4.5%
446315.067198453 1
4.5%
446280.074174681 1
4.5%
446238.776340506 1
4.5%

문화체육업종명
Categorical

Distinct2
Distinct (%)9.1%
Missing0
Missing (%)0.0%
Memory size308.0 B
복합유통게임제공업
18 
<NA>
4 

Length

Max length9
Median length9
Mean length8.0909091
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row복합유통게임제공업
2nd row복합유통게임제공업
3rd row복합유통게임제공업
4th row복합유통게임제공업
5th row복합유통게임제공업

Common Values

ValueCountFrequency (%)
복합유통게임제공업 18
81.8%
<NA> 4
 
18.2%

Length

2024-05-11T05:04:18.491990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:04:18.966994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
복합유통게임제공업 18
81.8%
na 4
 
18.2%

문화사업자구분명
Categorical

Distinct2
Distinct (%)9.1%
Missing0
Missing (%)0.0%
Memory size308.0 B
유통관련업
18 
<NA>
4 

Length

Max length5
Median length5
Mean length4.8181818
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row유통관련업
2nd row유통관련업
3rd row유통관련업
4th row유통관련업
5th row유통관련업

Common Values

ValueCountFrequency (%)
유통관련업 18
81.8%
<NA> 4
 
18.2%

Length

2024-05-11T05:04:19.436865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:04:19.849033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유통관련업 18
81.8%
na 4
 
18.2%

총층수
Real number (ℝ)

MISSING  ZEROS 

Distinct7
Distinct (%)38.9%
Missing4
Missing (%)18.2%
Infinite0
Infinite (%)0.0%
Mean3.2222222
Minimum0
Maximum17
Zeros10
Zeros (%)45.5%
Negative0
Negative (%)0.0%
Memory size330.0 B
2024-05-11T05:04:20.289158image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q34.5
95-th percentile14.45
Maximum17
Range17
Interquartile range (IQR)4.5

Descriptive statistics

Standard deviation5.2418627
Coefficient of variation (CV)1.626785
Kurtosis2.2452489
Mean3.2222222
Median Absolute Deviation (MAD)0
Skewness1.7663416
Sum58
Variance27.477124
MonotonicityNot monotonic
2024-05-11T05:04:20.739590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 10
45.5%
5 2
 
9.1%
3 2
 
9.1%
14 1
 
4.5%
10 1
 
4.5%
1 1
 
4.5%
17 1
 
4.5%
(Missing) 4
 
18.2%
ValueCountFrequency (%)
0 10
45.5%
1 1
 
4.5%
3 2
 
9.1%
5 2
 
9.1%
10 1
 
4.5%
14 1
 
4.5%
17 1
 
4.5%
ValueCountFrequency (%)
17 1
 
4.5%
14 1
 
4.5%
10 1
 
4.5%
5 2
 
9.1%
3 2
 
9.1%
1 1
 
4.5%
0 10
45.5%

주변환경명
Text

MISSING 

Distinct3
Distinct (%)60.0%
Missing17
Missing (%)77.3%
Memory size308.0 B
2024-05-11T05:04:21.233258image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length2
Mean length3.8
Min length2

Characters and Unicode

Total characters19
Distinct characters14
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)40.0%

Sample

1st row기타
2nd row기타
3rd row기타
4th row주택가주변
5th row학교정화(상대)
ValueCountFrequency (%)
기타 3
60.0%
주택가주변 1
 
20.0%
학교정화(상대 1
 
20.0%
2024-05-11T05:04:22.239811image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
기 3
15.8%
타 3
15.8%
주 2
10.5%
택 1
 
5.3%
가 1
 
5.3%
변 1
 
5.3%
학 1
 
5.3%
교 1
 
5.3%
정 1
 
5.3%
화 1
 
5.3%
Other values (4) 4
21.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 17
89.5%
Open Punctuation 1
 
5.3%
Close Punctuation 1
 
5.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 3
17.6%
타 3
17.6%
주 2
11.8%
택 1
 
5.9%
가 1
 
5.9%
변 1
 
5.9%
학 1
 
5.9%
교 1
 
5.9%
정 1
 
5.9%
화 1
 
5.9%
Other values (2) 2
11.8%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 17
89.5%
Common 2
 
10.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 3
17.6%
타 3
17.6%
주 2
11.8%
택 1
 
5.9%
가 1
 
5.9%
변 1
 
5.9%
학 1
 
5.9%
교 1
 
5.9%
정 1
 
5.9%
화 1
 
5.9%
Other values (2) 2
11.8%
Common
ValueCountFrequency (%)
( 1
50.0%
) 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 17
89.5%
ASCII 2
 
10.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
기 3
17.6%
타 3
17.6%
주 2
11.8%
택 1
 
5.9%
가 1
 
5.9%
변 1
 
5.9%
학 1
 
5.9%
교 1
 
5.9%
정 1
 
5.9%
화 1
 
5.9%
Other values (2) 2
11.8%
ASCII
ValueCountFrequency (%)
( 1
50.0%
) 1
50.0%

제작취급품목내용
Text

MISSING 

Distinct13
Distinct (%)76.5%
Missing5
Missing (%)22.7%
Memory size308.0 B
2024-05-11T05:04:22.702307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length16
Mean length11.235294
Min length5

Characters and Unicode

Total characters191
Distinct characters54
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique11 ?
Unique (%)64.7%

Sample

1st row노래연습장+청소년게임제공업
2nd row식품접객업
3rd row식품접객업
4th row식품접객업
5th row인터넷컴퓨터시설제공업+식품접객업
ValueCountFrequency (%)
식품접객업 4
22.2%
식품접객업(휴게음식점 2
11.1%
노래연습장업 2
11.1%
노래연습장+청소년게임제공업 1
 
5.6%
인터넷컴퓨터시설제공업+식품접객업 1
 
5.6%
게임,노래,인터넷,영화 1
 
5.6%
게임제공업+노래연습장 1
 
5.6%
노래연습장업,비디오물감상실업 1
 
5.6%
식품접객업(휴게음식점):제2439호 1
 
5.6%
노래연습장업(4실 1
 
5.6%
Other values (3) 3
16.7%
2024-05-11T05:04:24.051955image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
업 18
 
9.4%
식 11
 
5.8%
래 8
 
4.2%
접 8
 
4.2%
객 8
 
4.2%
품 8
 
4.2%
노 8
 
4.2%
게 7
 
3.7%
장 7
 
3.7%
습 7
 
3.7%
Other values (44) 101
52.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 155
81.2%
Decimal Number 15
 
7.9%
Other Punctuation 6
 
3.1%
Close Punctuation 5
 
2.6%
Open Punctuation 5
 
2.6%
Math Symbol 3
 
1.6%
Space Separator 1
 
0.5%
Dash Punctuation 1
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
업 18
 
11.6%
식 11
 
7.1%
래 8
 
5.2%
접 8
 
5.2%
객 8
 
5.2%
품 8
 
5.2%
노 8
 
5.2%
게 7
 
4.5%
장 7
 
4.5%
습 7
 
4.5%
Other values (31) 65
41.9%
Decimal Number
ValueCountFrequency (%)
0 6
40.0%
2 3
20.0%
4 2
 
13.3%
1 2
 
13.3%
9 1
 
6.7%
3 1
 
6.7%
Other Punctuation
ValueCountFrequency (%)
, 5
83.3%
: 1
 
16.7%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%
Math Symbol
ValueCountFrequency (%)
+ 3
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 155
81.2%
Common 36
 
18.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
업 18
 
11.6%
식 11
 
7.1%
래 8
 
5.2%
접 8
 
5.2%
객 8
 
5.2%
품 8
 
5.2%
노 8
 
5.2%
게 7
 
4.5%
장 7
 
4.5%
습 7
 
4.5%
Other values (31) 65
41.9%
Common
ValueCountFrequency (%)
0 6
16.7%
) 5
13.9%
( 5
13.9%
, 5
13.9%
+ 3
8.3%
2 3
8.3%
4 2
 
5.6%
1 2
 
5.6%
1
 
2.8%
9 1
 
2.8%
Other values (3) 3
8.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 155
81.2%
ASCII 36
 
18.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
업 18
 
11.6%
식 11
 
7.1%
래 8
 
5.2%
접 8
 
5.2%
객 8
 
5.2%
품 8
 
5.2%
노 8
 
5.2%
게 7
 
4.5%
장 7
 
4.5%
습 7
 
4.5%
Other values (31) 65
41.9%
ASCII
ValueCountFrequency (%)
0 6
16.7%
) 5
13.9%
( 5
13.9%
, 5
13.9%
+ 3
8.3%
2 3
8.3%
4 2
 
5.6%
1 2
 
5.6%
1
 
2.8%
9 1
 
2.8%
Other values (3) 3
8.3%

시설면적
Real number (ℝ)

MISSING 

Distinct18
Distinct (%)100.0%
Missing4
Missing (%)18.2%
Infinite0
Infinite (%)0.0%
Mean261.20778
Minimum68.7
Maximum431.38
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size330.0 B
2024-05-11T05:04:24.612081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum68.7
5-th percentile88.743
Q1212.7375
median270.615
Q3325.45
95-th percentile388.421
Maximum431.38
Range362.68
Interquartile range (IQR)112.7125

Descriptive statistics

Standard deviation96.11367
Coefficient of variation (CV)0.36795868
Kurtosis-0.054070927
Mean261.20778
Median Absolute Deviation (MAD)59.79
Skewness-0.35336627
Sum4701.74
Variance9237.8375
MonotonicityNot monotonic
2024-05-11T05:04:25.152363image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
252.74 1
 
4.5%
330.81 1
 
4.5%
271.23 1
 
4.5%
431.38 1
 
4.5%
380.84 1
 
4.5%
276.45 1
 
4.5%
270.0 1
 
4.5%
68.7 1
 
4.5%
232.95 1
 
4.5%
290.0 1
 
4.5%
Other values (8) 8
36.4%
(Missing) 4
18.2%
ValueCountFrequency (%)
68.7 1
4.5%
92.28 1
4.5%
162.78 1
4.5%
174.9 1
4.5%
206.0 1
4.5%
232.95 1
4.5%
242.01 1
4.5%
252.74 1
4.5%
270.0 1
4.5%
271.23 1
4.5%
ValueCountFrequency (%)
431.38 1
4.5%
380.84 1
4.5%
376.87 1
4.5%
330.81 1
4.5%
330.0 1
4.5%
311.8 1
4.5%
290.0 1
4.5%
276.45 1
4.5%
271.23 1
4.5%
270.0 1
4.5%

지상층수
Categorical

Distinct6
Distinct (%)27.3%
Missing0
Missing (%)0.0%
Memory size308.0 B
0
8 
3
5 
<NA>
4 
9
2 
4
2 

Length

Max length4
Median length1
Mean length1.5909091
Min length1

Unique

Unique1 ?
Unique (%)4.5%

Sample

1st row9
2nd row4
3rd row9
4th row4
5th row3

Common Values

ValueCountFrequency (%)
0 8
36.4%
3 5
22.7%
<NA> 4
18.2%
9 2
 
9.1%
4 2
 
9.1%
15 1
 
4.5%

Length

2024-05-11T05:04:25.708040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:04:26.111247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 8
36.4%
3 5
22.7%
na 4
18.2%
9 2
 
9.1%
4 2
 
9.1%
15 1
 
4.5%

지하층수
Categorical

Distinct5
Distinct (%)22.7%
Missing0
Missing (%)0.0%
Memory size308.0 B
0
11 
1
5 
<NA>
4 
5
 
1
2
 
1

Length

Max length4
Median length1
Mean length1.5454545
Min length1

Unique

Unique2 ?
Unique (%)9.1%

Sample

1st row5
2nd row1
3rd row1
4th row1
5th row0

Common Values

ValueCountFrequency (%)
0 11
50.0%
1 5
22.7%
<NA> 4
 
18.2%
5 1
 
4.5%
2 1
 
4.5%

Length

2024-05-11T05:04:26.513923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:04:27.178941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 11
50.0%
1 5
22.7%
na 4
 
18.2%
5 1
 
4.5%
2 1
 
4.5%

건물용도명
Categorical

Distinct2
Distinct (%)9.1%
Missing0
Missing (%)0.0%
Memory size308.0 B
<NA>
16 
근린생활시설
6 

Length

Max length6
Median length4
Mean length4.5454545
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row근린생활시설
2nd row근린생활시설
3rd row근린생활시설
4th row근린생활시설
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 16
72.7%
근린생활시설 6
 
27.3%

Length

2024-05-11T05:04:27.764642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:04:28.248283image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 16
72.7%
근린생활시설 6
 
27.3%

통로너비
Categorical

Distinct2
Distinct (%)9.1%
Missing0
Missing (%)0.0%
Memory size308.0 B
0
18 
<NA>
4 

Length

Max length4
Median length1
Mean length1.5454545
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 18
81.8%
<NA> 4
 
18.2%

Length

2024-05-11T05:04:28.781483image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:04:29.330236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 18
81.8%
na 4
 
18.2%

조명시설조도
Categorical

Distinct4
Distinct (%)18.2%
Missing0
Missing (%)0.0%
Memory size308.0 B
0
16 
<NA>
4 
40
 
1
86
 
1

Length

Max length4
Median length1
Mean length1.6363636
Min length1

Unique

Unique2 ?
Unique (%)9.1%

Sample

1st row40
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 16
72.7%
<NA> 4
 
18.2%
40 1
 
4.5%
86 1
 
4.5%

Length

2024-05-11T05:04:29.852805image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:04:30.423478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 16
72.7%
na 4
 
18.2%
40 1
 
4.5%
86 1
 
4.5%

노래방실수
Categorical

Distinct2
Distinct (%)9.1%
Missing0
Missing (%)0.0%
Memory size308.0 B
0
18 
<NA>
4 

Length

Max length4
Median length1
Mean length1.5454545
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 18
81.8%
<NA> 4
 
18.2%

Length

2024-05-11T05:04:30.968061image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:04:31.515233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 18
81.8%
na 4
 
18.2%

청소년실수
Categorical

Distinct2
Distinct (%)9.1%
Missing0
Missing (%)0.0%
Memory size308.0 B
0
18 
<NA>
4 

Length

Max length4
Median length1
Mean length1.5454545
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 18
81.8%
<NA> 4
 
18.2%

Length

2024-05-11T05:04:32.054021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:04:32.578628image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 18
81.8%
na 4
 
18.2%

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing22
Missing (%)100.0%
Memory size330.0 B

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing22
Missing (%)100.0%
Memory size330.0 B

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing22
Missing (%)100.0%
Memory size330.0 B

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing22
Missing (%)100.0%
Memory size330.0 B

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing22
Missing (%)100.0%
Memory size330.0 B

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing22
Missing (%)100.0%
Memory size330.0 B

비디오재생기명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing22
Missing (%)100.0%
Memory size330.0 B

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing22
Missing (%)100.0%
Memory size330.0 B

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing22
Missing (%)100.0%
Memory size330.0 B

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing22
Missing (%)100.0%
Memory size330.0 B

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing22
Missing (%)100.0%
Memory size330.0 B

총게임기수
Real number (ℝ)

MISSING  ZEROS 

Distinct13
Distinct (%)72.2%
Missing4
Missing (%)18.2%
Infinite0
Infinite (%)0.0%
Mean64.055556
Minimum0
Maximum161
Zeros6
Zeros (%)27.3%
Negative0
Negative (%)0.0%
Memory size330.0 B
2024-05-11T05:04:33.100995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median80
Q393.25
95-th percentile145.7
Maximum161
Range161
Interquartile range (IQR)93.25

Descriptive statistics

Standard deviation56.244709
Coefficient of variation (CV)0.87806138
Kurtosis-1.3609202
Mean64.055556
Median Absolute Deviation (MAD)59
Skewness0.078125594
Sum1153
Variance3163.4673
MonotonicityNot monotonic
2024-05-11T05:04:33.636956image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
0 6
27.3%
79 1
 
4.5%
143 1
 
4.5%
70 1
 
4.5%
90 1
 
4.5%
89 1
 
4.5%
10 1
 
4.5%
91 1
 
4.5%
135 1
 
4.5%
161 1
 
4.5%
Other values (3) 3
13.6%
(Missing) 4
18.2%
ValueCountFrequency (%)
0 6
27.3%
10 1
 
4.5%
70 1
 
4.5%
79 1
 
4.5%
81 1
 
4.5%
89 1
 
4.5%
90 1
 
4.5%
91 1
 
4.5%
94 1
 
4.5%
110 1
 
4.5%
ValueCountFrequency (%)
161 1
4.5%
143 1
4.5%
135 1
4.5%
110 1
4.5%
94 1
4.5%
91 1
4.5%
90 1
4.5%
89 1
4.5%
81 1
4.5%
79 1
4.5%

기존게임업외업종명
Text

MISSING 

Distinct4
Distinct (%)100.0%
Missing18
Missing (%)81.8%
Memory size308.0 B
2024-05-11T05:04:34.093983image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length8.5
Mean length8.5
Min length5

Characters and Unicode

Total characters34
Distinct characters21
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4 ?
Unique (%)100.0%

Sample

1st row청소년게임장+노래연습장
2nd row식품점객업
3rd row식품접객업(휴게음식점)
4th row노래연습장
ValueCountFrequency (%)
청소년게임장+노래연습장 1
25.0%
식품점객업 1
25.0%
식품접객업(휴게음식점 1
25.0%
노래연습장 1
25.0%
2024-05-11T05:04:35.176260image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
장 3
 
8.8%
식 3
 
8.8%
습 2
 
5.9%
업 2
 
5.9%
게 2
 
5.9%
노 2
 
5.9%
래 2
 
5.9%
연 2
 
5.9%
품 2
 
5.9%
점 2
 
5.9%
Other values (11) 12
35.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 31
91.2%
Open Punctuation 1
 
2.9%
Math Symbol 1
 
2.9%
Close Punctuation 1
 
2.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
장 3
 
9.7%
식 3
 
9.7%
습 2
 
6.5%
업 2
 
6.5%
게 2
 
6.5%
노 2
 
6.5%
래 2
 
6.5%
연 2
 
6.5%
품 2
 
6.5%
점 2
 
6.5%
Other values (8) 9
29.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 31
91.2%
Common 3
 
8.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
장 3
 
9.7%
식 3
 
9.7%
습 2
 
6.5%
업 2
 
6.5%
게 2
 
6.5%
노 2
 
6.5%
래 2
 
6.5%
연 2
 
6.5%
품 2
 
6.5%
점 2
 
6.5%
Other values (8) 9
29.0%
Common
ValueCountFrequency (%)
( 1
33.3%
+ 1
33.3%
) 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 31
91.2%
ASCII 3
 
8.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
장 3
 
9.7%
식 3
 
9.7%
습 2
 
6.5%
업 2
 
6.5%
게 2
 
6.5%
노 2
 
6.5%
래 2
 
6.5%
연 2
 
6.5%
품 2
 
6.5%
점 2
 
6.5%
Other values (8) 9
29.0%
ASCII
ValueCountFrequency (%)
( 1
33.3%
+ 1
33.3%
) 1
33.3%

제공게임물명
Categorical

Distinct2
Distinct (%)9.1%
Missing0
Missing (%)0.0%
Memory size308.0 B
전체이용가
12 
<NA>
10 

Length

Max length5
Median length5
Mean length4.5454545
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row전체이용가
2nd row전체이용가
3rd row전체이용가
4th row전체이용가
5th row전체이용가

Common Values

ValueCountFrequency (%)
전체이용가 12
54.5%
<NA> 10
45.5%

Length

2024-05-11T05:04:35.753920image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:04:36.221873image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
전체이용가 12
54.5%
na 10
45.5%

공연장형태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing22
Missing (%)100.0%
Memory size330.0 B

품목명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing22
Missing (%)100.0%
Memory size330.0 B

최초등록시점
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing22
Missing (%)100.0%
Memory size330.0 B

지역구분명
Text

MISSING 

Distinct5
Distinct (%)62.5%
Missing14
Missing (%)63.6%
Memory size308.0 B
2024-05-11T05:04:36.637373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length5
Mean length5.375
Min length5

Characters and Unicode

Total characters43
Distinct characters12
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3 ?
Unique (%)37.5%

Sample

1st row일반상업지역
2nd row일반주거지역
3rd row준공업지역
4th row준주거지역
5th row준공업지역
ValueCountFrequency (%)
준주거지역 3
37.5%
준공업지역 2
25.0%
일반상업지역 1
 
12.5%
일반주거지역 1
 
12.5%
근린상업지역 1
 
12.5%
2024-05-11T05:04:37.675530image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
지 8
18.6%
역 8
18.6%
준 5
11.6%
주 4
9.3%
거 4
9.3%
업 4
9.3%
공 2
 
4.7%
일 2
 
4.7%
반 2
 
4.7%
상 2
 
4.7%
Other values (2) 2
 
4.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 43
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 8
18.6%
역 8
18.6%
준 5
11.6%
주 4
9.3%
거 4
9.3%
업 4
9.3%
공 2
 
4.7%
일 2
 
4.7%
반 2
 
4.7%
상 2
 
4.7%
Other values (2) 2
 
4.7%

Most occurring scripts

ValueCountFrequency (%)
Hangul 43
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 8
18.6%
역 8
18.6%
준 5
11.6%
주 4
9.3%
거 4
9.3%
업 4
9.3%
공 2
 
4.7%
일 2
 
4.7%
반 2
 
4.7%
상 2
 
4.7%
Other values (2) 2
 
4.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 43
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
지 8
18.6%
역 8
18.6%
준 5
11.6%
주 4
9.3%
거 4
9.3%
업 4
9.3%
공 2
 
4.7%
일 2
 
4.7%
반 2
 
4.7%
상 2
 
4.7%
Other values (2) 2
 
4.7%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
03180000CDFF224103200500000120050504<NA>3폐업3폐업20200515<NA><NA><NA><NA><NA><NA>서울특별시 영등포구 영등포동 618-496번지 롯데시네마 7층서울특별시 영등포구 경인로 846, A동 7층 (영등포동, 롯데백화점 영등포점)7306롯데시네마 영등포 게임센터2020-05-18 13:35:59U2020-05-20 02:40:00.0<NA>191741.345848445970.307641복합유통게임제공업유통관련업14기타노래연습장+청소년게임제공업232.9595근린생활시설04000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>79청소년게임장+노래연습장전체이용가<NA><NA><NA>일반상업지역
13180000CDFF224103201000000120100511<NA>3폐업3폐업20171025<NA><NA><NA><NA><NA><NA>서울특별시 영등포구 영등포동 618-79번지 2층서울특별시 영등포구 영신로19길 7 (영등포동)7366쓰리팝2017-11-30 14:46:53I2018-08-31 23:59:59.0<NA>191701.276521445782.250191복합유통게임제공업유통관련업5기타식품접객업290.041근린생활시설0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>143<NA>전체이용가<NA><NA><NA>일반주거지역
23180000CDFF224103201000000220100629<NA>4취소/말소/만료/정지/중지35직권말소20111117<NA><NA><NA><NA><NA><NA>서울특별시 영등포구 영등포동6가 67-1번지서울특별시 영등포구 영신로40길 18 (영등포동6가)<NA>놀러와pc방2011-11-17 13:44:01I2018-08-31 23:59:59.0<NA>191380.993043446542.019359복합유통게임제공업유통관련업10기타식품접객업206.091근린생활시설0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>70<NA>전체이용가<NA><NA><NA>준공업지역
33180000CDFF224103201000000320101115<NA>4취소/말소/만료/정지/중지35직권말소20211209<NA><NA><NA><NA><NA><NA>서울특별시 영등포구 당산동4가 92-3 경인빌딩 4층서울특별시 영등포구 국회대로 553 (당산동4가,경인빌딩 4층)<NA>도시락피씨방 영등포구청점2021-12-09 09:55:04U2021-12-11 02:40:00.0<NA>190747.885659447371.830823복합유통게임제공업유통관련업5주택가주변식품접객업376.8741근린생활시설0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>90식품점객업전체이용가<NA><NA><NA>준주거지역
43180000CDFF224103201100000120110118<NA>3폐업3폐업20141127<NA><NA><NA><NA><NA><NA>서울특별시 영등포구 영등포동 631-13번지 3층서울특별시 영등포구 영신로9라길 16 (영등포동,3층)<NA>린투pc방2014-11-27 15:40:08I2018-08-31 23:59:59.0<NA>191566.327841445685.429249복합유통게임제공업유통관련업0<NA>인터넷컴퓨터시설제공업+식품접객업242.0130<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>89식품접객업(휴게음식점)전체이용가<NA><NA><NA><NA>
53180000CDFF224103201100000220110228<NA>3폐업3폐업20181227<NA><NA><NA><NA><NA><NA>서울특별시 영등포구 영등포동3가 7-25번지 델리타운 303호서울특별시 영등포구 영중로10길 6, 303호 (영등포동3가, 델리타운)7302MPLAY 영등포점2018-12-28 18:10:56U2018-12-30 02:40:00.0<NA>191636.053346446315.067198복합유통게임제공업유통관련업3<NA>게임,노래,인터넷,영화92.2800<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>10노래연습장전체이용가<NA><NA><NA><NA>
63180000CDFF224103201100000320110309<NA>3폐업3폐업20130926<NA><NA><NA><NA><NA><NA>서울특별시 영등포구 영등포동3가 10-39번지 1층서울특별시 영등포구 영중로4길 16, 1층 (영등포동3가)150033환타지아 게임장2013-09-26 13:55:57I2018-08-31 23:59:59.0<NA>191801.565851446120.923361복합유통게임제공업유통관련업1<NA>게임제공업+노래연습장330.000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>91<NA>전체이용가<NA><NA><NA><NA>
73180000CDFF224103201100000420110530<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 영등포구 영등포동3가 3-8서울특별시 영등포구 영중로10길 33, 4층 (영등포동3가)7303더박스2023-01-26 13:37:47U2022-11-30 22:08:00.0<NA>191885.636256446280.074175<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
83180000CDFF224103201100000520111018<NA>3폐업3폐업20220616<NA><NA><NA><NA><NA><NA>서울특별시 영등포구 영등포동3가 6-3 4층서울특별시 영등포구 영중로10길 3-1 (영등포동3가,4층)<NA>스마트엠 멀티방2022-06-16 11:08:10U2021-12-05 23:08:00.0<NA>191604.062619446351.015011<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
93180000CDFF224103201200000120120302<NA>4취소/말소/만료/정지/중지35직권말소20211209<NA><NA><NA><NA><NA><NA>서울특별시 영등포구 대림동 807-13 3층 301호서울특별시 영등포구 대림로29길 42 (대림동,3층 301호)<NA>홍콩멀티방2021-12-09 09:54:31U2021-12-11 02:40:00.0<NA>190678.360081443551.585912복합유통게임제공업유통관련업3학교정화(상대)노래연습장업,비디오물감상실업174.930<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
123180000CDFF224103201700000220170424<NA>1영업/정상13영업중<NA><NA><NA><NA>070-4125-6993<NA><NA>서울특별시 영등포구 당산동6가 338-1번지 한경빌딩 지하1층서울특별시 영등포구 양평로 64, 지하1층 (당산동6가, 한경빌딩)7222퍼니퍼니(FUNNY FUNNY)2017-04-24 20:29:27I2018-08-31 23:59:59.0<NA>191096.383033448115.641405복합유통게임제공업유통관련업0<NA>노래연습장업252.7401<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA>준주거지역
133180000CDFF224103201700000320170620<NA>4취소/말소/만료/정지/중지35직권말소20220222<NA><NA><NA><NA><NA><NA>서울특별시 영등포구 영등포동3가 8 3층서울특별시 영등포구 영중로 22, 3층 (영등포동3가, 남서울빌딩)7302삘굿 10042022-02-22 11:20:12U2022-02-24 02:40:00.0<NA>191616.285409446238.776341복합유통게임제공업유통관련업0<NA>노래연습장업(4실)68.730<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA>전체이용가<NA><NA><NA><NA>
143180000CDFF224103201700000420171130<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 영등포구 영등포동 618-79 2층서울특별시 영등포구 영신로19길 7, 2층 (영등포동)7366독스 PC방2021-01-04 15:07:06U2021-01-06 02:40:00.0<NA>191701.276521445782.250191복합유통게임제공업유통관련업0<NA>식품접객업(휴게음식점)270.000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>161<NA>전체이용가<NA><NA><NA><NA>
153180000CDFF224103201800000120180430<NA>3폐업3폐업20200203<NA><NA><NA>070-7655-1101<NA><NA>서울특별시 영등포구 여의도동 18번지 한국방송공사 자료동 1층서울특별시 영등포구 여의공원로 13, 한국방송공사 자료동 1층 (여의도동)7235K-STAR VR2020-02-03 13:51:40U2020-02-05 02:40:00.0<NA>192538.786642447017.159179복합유통게임제공업유통관련업0<NA>기타유원시설업276.4500<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA>
163180000CDFF224103201900000120190701<NA>3폐업3폐업20200123<NA><NA><NA><NA><NA><NA>서울특별시 영등포구 영등포동2가 328-11번지 101호, B01호서울특별시 영등포구 영등포로 247, 101호, B01호 (영등포동2가)7252THE19752020-01-28 09:25:56U2020-01-30 02:40:00.0<NA>191893.26571446366.651805복합유통게임제공업유통관련업17<NA>식품접객업380.84152근린생활시설08600<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>110<NA><NA><NA><NA><NA>준주거지역
173180000CDFF224103202000000120201014<NA>1영업/정상13영업중<NA><NA><NA><NA>02-2677-7693<NA><NA>서울특별시 영등포구 영등포동4가 442 타임스퀘어 4층호서울특별시 영등포구 영중로 15, 타임스퀘어 4층 (영등포동4가)7305ACTION2020-10-14 09:52:24I2020-10-16 00:23:10.0<NA>191385.057392446098.555927복합유통게임제공업유통관련업0<NA>청소년게임제공업, 노래연습장업431.3800<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA>전체이용가<NA><NA><NA><NA>
183180000CDFF224103202000000220201201<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 영등포구 신길동 449-22 신성빌딩 3층호서울특별시 영등포구 영등포로 400, 신성빌딩 3층호 (신길동)7354아레나 블랙 PC2021-01-04 14:40:04U2021-01-06 02:40:00.0<NA>193084.355458445642.84112복합유통게임제공업유통관련업0<NA>식품접객업(휴게음식점)271.2330<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>94<NA>전체이용가<NA><NA><NA><NA>
193180000CDFF224103202100000120210201<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 영등포구 영등포동3가 10-39 1층호서울특별시 영등포구 영중로4길 16, 1층층 (영등포동3가)7304지투존(G2 ZONE)2021-02-04 22:30:37U2021-02-06 02:40:00.0<NA>191801.565851446120.923361복합유통게임제공업유통관련업0<NA>노래연습장(제2021-000001호)330.8100<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>81<NA><NA><NA><NA><NA>근린상업지역
203180000CDFF22410320230000012023-05-30<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 영등포구 당산동1가 3-1서울특별시 영등포구 영등포로30길 9, 2층 (당산동1가)7292GEEKSTAR PC2023-07-11 15:29:48U2022-12-06 23:03:00.0<NA>191082.132911446401.009847<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
213180000CDFF22410320240000012024-04-23<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 영등포구 신길동 467-3 보성빌딩서울특별시 영등포구 여의대방로53길 28, 보성빌딩 2층 (신길동)7353인피니티PC방 신길점2024-04-23 11:44:08I2023-12-03 22:05:00.0<NA>193009.721166445552.347991<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>